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https://support.sas.com/documentation/cdl/en/statug/63347/HTML/default/statug_logistic_sect004.htm
INMODEL=SAS-data-set. specifies the name of the SAS data set that contains the model information needed for scoring new data. This INMODEL= data set is the OUTMODEL= data set saved in a previous PROC LOGISTIC call. The OUTMODEL= data set should not be modified before its use as an INMODEL= data set.
https://communities.sas.com/t5/Statistical-Procedures/OFFSET-in-PROC-LOGISTIC/td-p/577609
This method is also mentioned in "Logistic Regression Using SAS: Theory and Application, Second Edition," (Allison, P., SAS Institute, 2012). The method only involves sampling the nonevents at a much lower rate than the events and then adjusting for the effect this has on the intercept in the logistic model.
https://communities.sas.com/t5/SAS-Communities-Library/A-Guide-to-Logistic-Regression-in-SAS/ta-p/564323
Building a Logistic Model by using SAS Enterprise Guide . I am using Titanic dataset from Kaggle.com which contains a training and test dataset. Here, we will try to predict the classification — Survived or deceased. ... It’s the same procedure for the importing test dataset in SAS by using Proc import and impute all the missing values.
https://support.sas.com/documentation/cdl/en/statug/63033/HTML/default/logistic_toc.htm
Logistic Regression Diagnostics ROC Curve, Customized Odds Ratios, Goodness-of-Fit Statistics, R-Square, and Confidence Limits Comparing Receiver Operating Characteristic Curves
https://documentation.sas.com/?docsetId=statug&docsetTarget=statug_logistic_syntax01.htm%3Flocale&docsetVersion=14.2
OUTMODEL= SAS-data-set. specifies the name of the SAS data set that contains the information about the fitted model. This data set contains sufficient information to score new data without having to refit the model. It is solely used as the input to the INMODEL= option in a subsequent PROC LOGISTIC call.
https://blogs.sas.com/content/iml/2019/06/26/logistic-estimates-from-hplogistic.html
Jun 26, 2019 · Accordingly, many of the HP procedures do not support the same statistical tests as their non-HP cousins (for example, PROC LOGISTIC). A SAS programmer recently posted an interesting question on the SAS Support Community. She is using PROC HPLOGISTIC for variable selection on a …
https://www.sas.com/content/dam/SAS/support/en/sas-global-forum-proceedings/2018/2179-2018.pdf
In addition, the paper provides answers to common questions that are received by SAS Technical Support concerning these analyses with PROC GLIMMIX. These questions cover working with events/trials data, handling bias issues in a logistic model, and overcoming convergence problems. INTRODUCTION
https://go.documentation.sas.com/?cdcId=pgmsascdc&cdcVersion=9.4_3.4&docsetId=statug&docsetTarget=statug_logistic_toc.htm&locale=en
The PROC LOGISTIC and MODEL statements are required. The CLASS and EFFECT statements (if specified) must precede the MODEL statement, and the CONTRAST, EXACT, and ROC statements (if specified) must follow the MODEL statement. The PROC LOGISTIC, MODEL, and ROCCONTRAST statements can be specified at most once.
https://www.sas.com/content/dam/SAS/fr_fr/doc/support-clients/articles/us2015-q1-proc-logistic.pdf
Mars 2015 - 6 - Support Clients SAS France 2.3.1. La première méthode – calcul du modèle et des prédictions dans une seule procédure LOGISTIC La table utilisée pour élaborer le modèle est spécifiée dans l'option DATA= de la procédure LOGISTIC,
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